Data Efficiency

JD Tech

Mar 12, 2025 · Artificial Intelligence

From Low‑Resource Large Model Training to Dynamic Margin Selection: A JD Engineer’s Journey

The article recounts a JD retail engineer’s rapid growth through tackling low‑resource large‑model training, developing a margin‑based dynamic data selection method (DynaMS) that earned an ICLR paper, and sharing practical insights on aligning business needs with cutting‑edge AI research.

AI researchData EfficiencyICLR

0 likes · 11 min read

From Low‑Resource Large Model Training to Dynamic Margin Selection: A JD Engineer’s Journey

Data Thinking Notes

Dec 26, 2024 · Artificial Intelligence

How AI Large Models are Transforming Industries: Trends, Challenges, and Opportunities

This report, jointly authored by Qianzhan Industry Research Institute, Shougang Fund CANPLUS, and Huawei Cloud, examines AI large‑model applications across four dimensions—overview, current status with case studies, pain points and solutions, and future trends—highlighting how these models boost production efficiency, balance cost, privacy, and performance, and elevate data’s role in industry.

Data EfficiencyIndustry Applicationsai

0 likes · 4 min read

How AI Large Models are Transforming Industries: Trends, Challenges, and Opportunities